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With these similar roles in mind, it's not too surprising that Titan V's specs are extremely similar to Tesla V100's. Both cards have 5,120 compute cores, and both have 640 machine learning ...

It's also got a 4,096-bit memory bus width, compared with the standard 3,072-bit, and a 6MB rather than 4.5MB L2 Cache. As AnandTech notes, the beefed-up Titan V CEO Edition's performance on paper ...

The TITAN V is loaded up with 5120 CUDA cores, 640 Tensor Cores, and has base/boost clocks of 1200MHz and 1455MHz respectively. The HBM2 memory is running at 1.7Gbps with a 3072-bit interface (for ...

To recap, the GV100-powered Titan V, which is fabricated on a new TSMC 12-nanometer FFN high-performance manufacturing process, features 110 teraflops of raw horsepower, 21.1 billion transistors ...

But while the Titan V has 16GB of HBM2 memory, the GV100 has 32GB. The Quadro GV100 also offers up to 118.5 TLFOPS of Tensor performance and 29.6TFLOPS of FP16 compute performance, whereas the ...

It also offers just 12GB of HBM2, rather than the 16GB on the Tesla V100. Nvidia is trumpeting the Titan V as offering 110 TFLOPS of horsepower, "9x that of its predecessor." ...

That’s a pretty impressive performance, and roughly twice as fast as AMD ’s Radeon RX Vega 64. However, the obvious rub is that the Titan V will set you back $2,999 or £2,700, compared to the ...

Nvidia’s $2,999 Titan V is a 110 teraflop GPU for AI processing Frederic Lardinois 2:20 AM PST · December 8, 2017 ...